摘要
本文着重探讨在范例库中引入一系列可以使用的知识发现技术 ,以提高范例推理系统的知识获取的自动化程度 ,这里提出了基于范例库上的修正规则的发现技术与算法 ,为此进行了实验与讨论 .
In case based system, there are many kinds of knowledge, such as case base, adaptation knowledge base, indexing model, similarity assessing criteria, etc. This paper discusses emphatically data mining techniques which could be used in CBR and automate the acquisition of the knowledge. The paper puts forward algorithms of adaptation knowledge acquisition from casebase automatically. The experimental result shows that these methods have strengthened the performance of the system.$$$$
出处
《南开大学学报（自然科学版）》
CAS
CSCD
北大核心
2002年第4期45-49,共5页
Acta Scientiarum Naturalium Universitatis Nankaiensis
基金
国家自然科学基金 ( 60 0 75 0 1 5 )
国家"863"计划资助
